Smart Data Collective

JULY 21, 2022

Data analytics is incredibly valuable for helping people. More institutions are recognizing this, so the market for data analytics in education is projected to be worth over $57 billion by 2030. This dependency poses the risks of increased costs, time and effort, and project delays.

Data-driven 135

Data-driven Big Data Cost-Benefit Data Analytics 135

Smart Data Collective

JUNE 8, 2023

The Sports Analytics Market is expected to be worth over $22 billion by 2030. Data analytics can impact the sports industry and a number of different ways. Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players.

Data Analytics 83

Data Analytics Analytics Data Collection Statistics 83

IBM Big Data Hub

SEPTEMBER 6, 2023

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) They can also reduce the likelihood of human error, deliver more personalized customer messages and identify at-risk customers.

Marketing 88

Marketing Technology Advertising ROI 88

IBM Big Data Hub

JULY 11, 2023

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. AI-enabled robots can work around sensitive organs and tissues, reducing blood loss, infection risk and post-surgery pain. How does artificial intelligence benefit healthcare?

Deep Learning 61

Deep Learning Cost-Benefit Insurance Machine Learning 61

Cloudera

NOVEMBER 14, 2023

For instance, the UN’s 2030 Agenda for Sustainable Development has identified 17 goals for sustainability — and this can’t be highlighted enough — of which financial inclusion is “positioned prominently as an enabler in eight of the 17.” Here are some real-world ways data and AI can serve the underserved.

Cost-Benefit 74

Cost-Benefit Unstructured Data Data-driven Risk 74

IBM Big Data Hub

DECEMBER 20, 2023

Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g., temperature, salary).

Machine Learning 83

Machine Learning Modeling Deep Learning Predictive Modeling 83